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query.py
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query.py
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# Library to query the database and update scoring information. Raw data entry
# from logfile and milestones is done in scload.py, this is for queries and
# post-processing.
import logging
from logging import debug, info, warn, error
import scload
from scload import Query, query_do, query_first, query_row, query_rows
from scload import query_first_col, query_first_def, game_is_win
import crawl
import crawl_utils
from memoizer import DBMemoizer
from crawl_utils import linked_text, human_number, player_link
from morgue import morgue_link
import uniq
import os.path
import re
from datetime import datetime
import time
# Number of unique uniques
MAX_UNIQUES = 43
MAX_RUNES = 15
def _cursor():
"""Easy retrieve of cursor to make interactive testing easier."""
d = scload.connect_db()
return d.cursor()
def _filter_invalid_where(d):
status = d['status']
if status in [ 'quit', 'won', 'bailed out', 'dead' ]:
return None
else:
d['status'] = status.title() or 'Active'
return d
def time_from_str(when):
if isinstance(when, datetime):
return when
if when.endswith('D') or when.endswith('S'):
when = when[:-1]
return datetime(*(time.strptime(when, '%Y%m%d%H%M%S')[0:6]))
def canonical_where_name(name):
test = '%s/%s' % (crawl_utils.RAWDATA_PATH, name)
if os.path.exists(test):
return name
names = os.listdir(crawl_utils.RAWDATA_PATH)
names = [ x for x in names if x.lower() == name.lower() ]
if names:
return names[0]
else:
return None
def whereis_player(name):
name = canonical_where_name(name)
if name is None:
return name
where_path = '%s/%s/%s.where' % (crawl_utils.RAWDATA_PATH, name, name)
if not os.path.exists(where_path):
return None
try:
f = open(where_path)
try:
line = f.readline()
d = scload.apply_dbtypes( scload.xlog_dict(line) )
return _filter_invalid_where(d)
finally:
f.close()
except:
return None
def row_to_xdict(row):
return dict( zip(scload.LOG_DB_COLUMNS, row) )
def xdict_rows(rows):
return [row_to_xdict(x) for x in rows]
@DBMemoizer
def canonicalize_player_name(c, player):
row = query_row(c, '''SELECT name FROM players WHERE name = %s''',
player)
if row:
return row[0]
return None
def find_games(c, table, sort_min=None, sort_max=None,
limit=None, **dictionary):
"""Finds all games matching the supplied criteria, all criteria ANDed
together."""
if sort_min is None and sort_max is None:
sort_min = 'end_time'
query = Query('SELECT ' + scload.LOG_DB_SCOLUMNS + (' FROM %s' % table))
where = []
values = []
def append_where(where, clause, *newvalues):
where.append(clause)
for v in newvalues:
values.append(v)
for key, value in dictionary.items():
if key == 'before':
append_where(where, "end_time < %s", value)
else:
append_where(where, key + " = %s", value)
order_by = ''
if sort_min:
order_by += ' ORDER BY ' + sort_min
elif sort_max:
order_by += ' ORDER BY ' + sort_max + ' DESC'
if where:
query.append(' WHERE ' + ' AND '.join(where), *values)
if order_by:
query.append(order_by)
if limit:
query.append(' LIMIT %d' % limit)
return [ row_to_xdict(x) for x in query.rows(c) ]
def calc_perc(num, den):
if den <= 0:
return 0.0
else:
return int(num) * 100.0 / int(den)
def calc_perc_pretty(num, den):
return "%.2f" % calc_perc(num, den)
def find_place(rows, player):
"""Given a list of one-tuple rows, returns the index at which the given
player name occurs in the one-tuples, or -1 if the player name is not
present in the list."""
if rows is None:
return -1
p = [r[0] for r in rows]
if player in p:
return p.index(player)
else:
return -1
def do_place_numeric(rows, callfn):
index = -1
last_num = None
for r in rows:
if last_num != r[1]:
index += 1
last_num = r[1]
if not callfn(r, index):
break
def find_place_numeric(rows, player):
"""Given a list of two-tuple rows, returns the index at which the given
player name occurs in the two-tuples, or -1 if the player name is not
present in the list. The second element of each tuple is considered to be
a score. If any element has the same score as a preceding element, it is
treated as being at the same index."""
index = -1
last_num = None
for r in rows:
if last_num != r[1]:
index += 1
last_num = r[1]
if r[0] == player:
return index
return -1
def player_best_game(c, player):
return (row_to_xdict(
query_row(c, 'SELECT ' + scload.LOG_DB_SCOLUMNS
+ ''' FROM player_best_games WHERE name = %s
ORDER BY sc DESC LIMIT 1''',
player)))
def player_first_game(c, player):
return (row_to_xdict(
query_row(c, 'SELECT ' + scload.LOG_DB_SCOLUMNS
+ ''' FROM player_first_games WHERE name = %s''',
player)))
def player_last_game(c, player):
return (row_to_xdict(
query_row(c, 'SELECT ' + scload.LOG_DB_SCOLUMNS
+ ''' FROM player_last_games WHERE name = %s''',
player)))
def calc_avg_int(num, den):
if den == 0:
return 0
else:
return int(num / den)
def game_select_from(table):
return "SELECT " + scload.LOG_DB_SCOLUMNS + " FROM " + table + " "
def player_best_first_last(c, player):
fields = scload.LOG_DB_SCOLUMNS
q = [(game_select_from('player_best_games') +
'''WHERE name = %s ORDER BY sc DESC LIMIT 1'''),
(game_select_from('player_first_games') +
'''WHERE name = %s'''),
(game_select_from('player_last_games') +
'''WHERE name = %s''')]
q = " UNION ALL ".join(["(" + x + ")" for x in q])
return xdict_rows(query_rows(c, q, player, player, player))
def best_players_by_total_score(c):
rows = query_rows(c, '''SELECT name, games_played, games_won,
total_score, best_score,
first_game_start, last_game_end
FROM players WHERE total_score > 500
ORDER BY total_score DESC''')
res = []
for r in rows:
rl = list(r)
games = player_best_first_last(c, rl[0])
rl[4] = linked_text(games[0], morgue_link, human_number(rl[4]))
rl[5] = linked_text(games[1], morgue_link, rl[5])
rl[6] = linked_text(games[2], morgue_link, rl[6])
win_perc = calc_perc_pretty(rl[2], rl[1]) + "%"
avg_score = calc_avg_int(rl[3], rl[1])
res.append([rl[3]] + list(rl[0:3]) + [win_perc] + [rl[4]]
+ [avg_score] + list(rl[5:]))
return res
def fixup_player_stats(c, rl):
games = player_best_first_last(c, rl[0])
rl[5] = linked_text(games[0], morgue_link, human_number(rl[5]))
rl[6] = linked_text(games[1], morgue_link, rl[6])
rl[7] = linked_text(games[2], morgue_link, rl[7])
win_perc = calc_perc_pretty(rl[2], rl[1]) + "%"
avg_score = calc_avg_int(rl[3], rl[1])
return { 'total_score': rl[3],
'name': rl[0],
'games_played': rl[1],
'games_won': rl[2],
'win_perc': win_perc,
'best_xl': rl[4],
'best_score': rl[5],
'avg_score': avg_score,
'first_game': rl[6],
'last_game': rl[7] }
def all_player_stats(c):
rows = query_rows(c, '''SELECT name, games_played, games_won,
total_score, best_xl, best_score,
first_game_start, last_game_end
FROM players
ORDER BY name''')
def flatten_row(r):
return [r[s] for s in
("total_score name games_played games_won win_perc " +
"best_xl best_score avg_score first_game last_game").split()]
res = []
for r in rows:
rl = list(r)
res.append(flatten_row(fixup_player_stats(c, rl)))
return res
def top_combo_scores(c):
"""Returns all the top-scoring games for each unique character combo, ordered
in descending order of score."""
rows = query_rows(c,
game_select_from('top_combo_scores') +
" ORDER BY charabbr")
return xdict_rows(rows)
def select_fields(*fields):
return lambda g: [g.get(x) for x in fields]
def top_thing_scorers(c, table, thing):
games = xdict_rows(query_rows(c, game_select_from(table)
+ " ORDER BY name, " + thing))
score_counts = { }
def inc_count(g):
name = g['name']
if not score_counts.has_key(name):
score_counts[name] = [ ]
l = score_counts[name]
l.append(linked_text(g, morgue_link, g[thing]))
for g in games:
inc_count(g)
best_players = score_counts.items()
best_players.sort(lambda a, b: len(b[1]) - len(a[1]))
return [[len(x[1]), x[0], ", ".join(x[1])] for x in best_players]
def top_species_scorers(c):
return top_thing_scorers(c, 'top_species_scores', 'crace')
def top_class_scorers(c):
return top_thing_scorers(c, 'top_class_scores', 'cls')
def top_combo_scorers(c):
return top_thing_scorers(c, 'top_combo_scores', 'charabbr')
def find_all_players(c):
return query_first_col(c, '''SELECT name FROM players''')
def player_wins(c, player):
return find_games(c, 'wins', name = player, sort_min = 'end_time')
def find_streak_breaker(c, sid):
return row_to_xdict(
query_row(c, game_select_from('streak_breakers') + " WHERE streak_id = %s",
sid))
def extract_streaks(c, query, streak_filter=None, max_streaks=None):
sgames = query.rows(c)
# Streak table: ngames, active, all games in streak.
streak_id_map = { }
def register_game(g):
if streak_filter and not streak_filter(g):
return
sid = g[0]
if not streak_id_map.has_key(sid):
breaker = ''
# If the streak is not active, grab the breaker:
if not g[5]:
breaker = find_streak_breaker(c, sid)
if breaker:
breaker = linked_text(breaker, morgue_link, breaker['charabbr'])
streak_id_map[sid] = {'ngames': g[2],
'player': g[1],
'start': g[3],
'end': g[4],
'active': g[5],
'games': [],
'breaker': breaker}
smap = streak_id_map[sid]
game = row_to_xdict(g[6:])
smap['games'].append(linked_text(game, morgue_link, game['charabbr']))
for g in sgames:
register_game(g)
streaks = streak_id_map.values()
def streak_comparator(a, b):
bn = b['ngames']
an = a['ngames']
if bn == an:
be = b['end']
ae = a['end']
return ((ae < be and -1) or
(ae > be and 1) or
0)
else:
return int(bn - an)
streaks.sort(streak_comparator)
return max_streaks and streaks[:max_streaks] or streaks
def all_streaks(c, max_per_player=10, max_streaks=None, active_streaks=False):
logf = logfields_prefixed('g.')
extra = ''
if active_streaks:
extra = 's.active = 1 AND '
q = Query("SELECT s.id, s.player, s.ngames, s.start_game_time, " +
"s.end_game_time, s.active, " + logf +
''' FROM streaks s, streak_games g
WHERE %s g.name = s.player
AND g.end_time >= s.start_game_time
AND g.end_time <= s.end_game_time
ORDER BY s.ngames DESC, s.id''' % extra)
pscounts = { }
def player_streak_filter(g):
player = g[1]
if not pscounts.has_key(player):
pscounts[player] = set()
s = pscounts[player]
s.add(g[0])
return len(s) <= max_per_player
return extract_streaks(c, q, streak_filter = player_streak_filter,
max_streaks = max_streaks)
def player_streaks(c, player, max_streaks = 100):
"""Returns a list of streaks for a player, ordered by longest streak
first."""
logf = logfields_prefixed('g.')
q = Query("SELECT s.id, s.player, s.ngames, s.start_game_time, " +
"s.end_game_time, s.active, " + logf +
''' FROM streaks s, streak_games g
WHERE s.player = %s AND g.name = s.player
AND g.end_time >= s.start_game_time
AND g.end_time <= s.end_game_time
ORDER BY s.ngames DESC, s.id''',
player)
return extract_streaks(c, q, max_streaks = max_streaks)
def player_recent_games(c, player, limit=15):
return find_games(c, 'player_recent_games',
sort_max = 'end_time',
name = player,
limit = limit)
def player_top_thing_scores(c, player, table, label):
return [(linked_text(g, morgue_link, g[label])
+ (game_is_win(g) and '*' or ''),
g['sc'])
for g in
find_games(c, table, name=player, sort_max='sc')]
def curry_player_top_thing(table, label):
return lambda c, player: player_top_thing_scores(c, player, table, label)
player_combo_highscores = curry_player_top_thing('top_combo_scores', 'charabbr')
player_species_highscores = curry_player_top_thing('top_species_scores',
'raceabbr')
player_class_highscores = curry_player_top_thing('top_class_scores',
'clsabbr')
def logfields_prefixed(prefix):
return ",".join([prefix + x for x in scload.LOG_DB_COLUMNS])
def top_killers(c):
deaths = query_first(c, '''SELECT SUM(kills) FROM top_killers''')
logf = logfields_prefixed('k.')
rows = query_rows(c,
"SELECT t.ckiller, t.kills, " +
logf +
''' FROM top_killers t, killer_recent_kills k
WHERE t.ckiller = k.ckiller
AND t.ckiller NOT IN ('leaving', 'quitting', 'winning')
ORDER BY t.kills DESC, t.ckiller''')
def fix_killer_row(r):
perc = calc_perc_pretty(r[1], deaths) + '%'
g = row_to_xdict(r[2:])
return [r[0], perc, r[1], linked_text(g, morgue_link, g['name'])]
return [fix_killer_row(x) for x in rows]
def kill_list(rows):
ghost_map = { }
def record_kill(ghost, victim):
if not ghost_map.has_key(ghost):
ghost_map[ghost] = { }
vmap = ghost_map[ghost]
if not vmap.has_key(victim):
vmap[victim] = 1
else:
vmap[victim] += 1
for r in rows:
record_kill(r[0], r[1])
ghost_items = [list(x) for x in ghost_map.items()]
def ntimes(count, who):
if count == 1:
return who
return "%s (%d)" % (who, count)
for g in ghost_items:
g[1] = g[1].items()
g[1].sort(lambda a, b: b[1] - a[1])
g.insert(1, sum([x[1] for x in g[1]]))
g[2] = ", ".join([ntimes(x[1], x[0]) for x in g[2]])
ghost_items.sort(lambda a, b: b[1] - a[1])
return ghost_items
def gkills(c):
return kill_list(query_rows(c,
'''SELECT ghost, victim FROM ghost_victims'''))
def gvictims(c):
return kill_list(query_rows(c,
'''SELECT victim, ghost FROM ghost_victims'''))
def winner_stats(c):
rows = query_rows(c,
'''SELECT p.games_won, p.name, p.games_played,
p.max_runes, p.best_score, p.total_score, '''
+ logfields_prefixed('g.') +
''' FROM players p, player_best_games g
WHERE p.name = g.name AND p.best_score = g.sc
AND p.games_won > 0
ORDER BY p.games_won DESC, p.games_played,
p.best_score DESC''')
results = []
for r in rows:
results.append(list(r[0:3]) +
[calc_perc_pretty(r[0], r[2]) + '%', r[3],
linked_text(row_to_xdict(r[6:]), morgue_link,
human_number(r[4])),
human_number(r[5]),
human_number(calc_avg_int(r[5], r[2]))])
return results
def get_fastest_time_player_games(c, limit=5):
return find_games(c, 'wins', sort_min='dur', limit=limit)
def get_fastest_turn_player_games(c, limit=5):
return find_games(c, 'wins', sort_min='turn', limit=limit)
def recent_wins(c, limit=5):
return find_games(c, 'wins', sort_max='end_time', limit=limit)
def recent_allrune_wins(c, limit=5):
return find_games(c, 'wins', urune=15, sort_max='end_time', limit=limit)
def most_pacific_wins(c, limit=5):
return xdict_rows(
query_rows(c,
game_select_from('wins') +
# This filters all games where the statistic is unavailable.
""" WHERE kills > 0
ORDER BY kills, id LIMIT %s""",
limit))
def youngest_rune_finds(c, limit=6):
return query_rows(c, '''SELECT player, rune, xl, rune_time
FROM low_xl_rune_finds
ORDER BY xl, rune_time LIMIT %s''', limit)
def best_ziggurats(c, limit=6):
return [list(r) for r in
query_rows(c, '''SELECT player, place, zig_time
FROM ziggurats
ORDER BY deepest DESC, zig_time DESC''')]
@DBMemoizer
def count_players_per_day(c, day):
return query_first(c,
'''SELECT COUNT(*) FROM date_players
WHERE which_day = %s''',
day)
@DBMemoizer
def winners_for_day(c, day):
return query_rows(c,
'''SELECT player, wins FROM date_players
WHERE which_day = %s AND wins > 0
ORDER BY wins DESC, player''',
day)
def per_day_stats(c, day, fullday, games_ended, games_won):
distinct_players = count_players_per_day(c, day)
winners = winners_for_day(c, day)
return {'day': fullday.strftime('%Y-%m-%d'),
'games': games_ended,
'players': distinct_players,
'wins': games_won,
'winners': winners}
def string_date(d):
assert(isinstance(d, datetime))
return d.strftime('%Y%m%d')
def counted_thing(thing, n):
if n == 1:
return thing
else:
return "%s (%d)" % (thing, n)
def fixup_winners(winners):
def plink(p):
return linked_text(p, player_link)
return ", ".join([counted_thing(plink(x[0]), x[1]) for x in winners])
def fixup_month(c, month):
mwin = month['winners'].items()
month['players'] = query_first(c, '''SELECT COUNT(DISTINCT player)
FROM date_players
WHERE which_month = %s''',
month['month'].replace('-', ''))
def sort_winners(a, b):
if a[1] != b[1]:
return int(b[1] - a[1])
else:
return (a[1] < b[1] and -1) or (a[1] > b[1] and 1) or 0
mwin.sort(sort_winners)
month['winners'] = fixup_winners(mwin)
return month
def date_stats(c):
dates = query_rows(c,
'''SELECT which_day, games_ended, games_won
FROM per_day_stats ORDER BY which_day DESC''')
result = []
month = [None]
def new_month_stat(this_month):
return { 'month': this_month,
'games': 0,
'players': 0,
'wins': 0,
'winners': { } }
def flush_month(month):
if not month:
return
result.append(fixup_month(c, month))
def inc_month_stats(date, eday, stats):
this_month = date.strftime('%Y-%m')
if not month[0] or month[0]['month'] != this_month:
flush_month(month[0])
month[0] = new_month_stat(this_month)
m = month[0]
m['games'] += stats['games']
m['wins'] += stats['wins']
mwinners = m['winners']
for wstat in stats['winners']:
if not mwinners.has_key(wstat[0]):
mwinners[wstat[0]] = 0
mwinners[wstat[0]] += wstat[1]
def record_date(d):
date = d[0]
edate = string_date(d[0])
stats = per_day_stats(c, edate, d[0], d[1], d[2])
inc_month_stats(date, edate, stats)
stats['winners'] = fixup_winners(stats['winners'])
result.append(stats)
for d in dates:
record_date(d)
flush_month(month[0])
return result
@DBMemoizer
def all_classes(c):
scload.bootstrap_known_raceclasses(c)
clx = query_first_col(c, '''SELECT cls FROM known_classes''')
clx.sort()
return clx
@DBMemoizer
def all_races(c):
scload.bootstrap_known_raceclasses(c)
races = query_first_col(c, '''SELECT race FROM known_races''')
races.sort()
return races
def player_get_stats(c, player):
stats = { }
rows = query_rows(c, '''SELECT charabbr, games_played, best_xl, wins
FROM player_char_stats
WHERE name = %s''', player)
for r in rows:
stats[r[0].lower()] = { 'games': r[1],
'xl': r[2],
'wins': r[3] }
return stats
def player_stats_matrix(c, player):
races = all_races(c)
classes = all_classes(c)
rows = []
stats = player_get_stats(c, player)
rows.append([' '] + classes + [' ', ' '])
cstats = [ {'class_total': True,
'games': 0,
'wins': 0,
'xl': 0} for c in classes ]
for r in races:
row = [ r ]
rgames = 0
rwins = 0
rxl = 0
for i in range(len(classes)):
c = classes[i]
char = r + c
s = stats.get(char.lower())
row.append(s)
if s:
rgames += s['games']
cstats[i]['games'] += s['games']
rwins += s['wins']
cstats[i]['wins'] += s['wins']
if s['xl'] > rxl:
rxl = s['xl']
if s['xl'] > cstats[i]['xl']:
cstats[i]['xl'] = s['xl']
row.append({ 'race_total': True,
'games': rgames,
'wins': rwins,
'xl': rxl })
row.append(r)
rows.append(row)
rows.append([' '] + cstats + [' ', ' '])
rows.append([' '] + classes + [' ', ' '])
return rows
def overall_player_stats(c, player):
row = query_row(c, '''SELECT name, games_played, games_won,
total_score, best_xl, best_score,
first_game_start, last_game_end
FROM players
WHERE name = %s''', player)
return fixup_player_stats(c, list(row))